The waste hauling business doesn't much resemble the sleek world of on-demand delivery. There are no tidy parcels here—just dumpsters that need picking up, roll-off containers stacked like industrial Tetris blocks, and a tangle of municipal regulations that vary block by block. Which is exactly why George Postlethwaite and Fred Fooks think they've found a problem worth solving.
Their company, Dayjob, emerged from Y Combinator's Spring 2026 batch with a launch around April 23–24, introducing an autonomous scheduling agent aimed squarely at waste operators. The pitch is straightforward: plug the software into your existing ERP system, and it spits out a full fleet schedule in about a minute. Then, as the day unfolds and reality intrudes—a driver runs late, a customer calls with an urgent pickup, a truck breaks down—the company says the AI keeps reworking the routes in the background.
Early customers in the UK report efficiency gains of 5 to 10 percent from the jump. Now Dayjob is making its way across the Atlantic, betting that American waste companies face the same logistical headaches.
Why waste hauling is different
Postlethwaite and Fooks are quick to point out that routing garbage trucks is not the same as routing delivery vans. Container sizes matter. So do local stacking rules, weight limits, and a raft of regulations that don't apply when you're dropping off a pair of sneakers. The optimization problem, they argue, is fundamentally messier.
Dayjob's agent sits on top of whatever ERP system a waste company already uses—no rip-and-replace required. It pulls data from job management platforms and GPS telematics, then auto-generates schedules for the next day. Throughout the day, it adjusts as new jobs come in or drivers hit unexpected snags. Vehicle breakdowns, last-minute route changes—theoretically, the system handles these without a dispatcher having to step in.
According to the company's Y Combinator profile, the software delivers a 50 percent improvement in meeting customer time windows while lightening the load on transport managers. The founders report that one early adopter saw an £800,000 revenue lift in the first year, though that figure comes from Dayjob's own materials and no independent verification has surfaced.
A UK waste hauler weighs in
Coastal Recycling became one of Dayjob's first public references. In a January 2026 case study, the UK-based operator described integrating the scheduling agent through its PurGo ERP system. During the pilot, Coastal's transport manager tracked a 5 to 10 percent bump in jobs completed per driver per hour—a meaningful margin in an industry where labor and fuel costs are relentless.
The company's planner went so far as to call Dayjob "the best route-planning software I've used in 10 years," at least according to a partnership announcement from VWS Software Solutions, which develops PurGo. That integration, formalized on January 30, 2026, now makes Dayjob available to PurGo's broader customer base.
LinkedIn posts from Dayjob suggest another customer, Allstone Speedy Skips, is also using the tool. But no detailed case study has emerged there yet.
What the product actually does
This isn't a mobile app for drivers. It's a desktop tool for the people who plan routes—transport managers sitting in offices, staring at maps and spreadsheets. Dayjob generates performance insights, tracks driver efficiency, and prioritizes routes based on distance, customer preferences, or delivery windows.
The company's marketing materials estimate the software can slice administrative time by 25 percent, a figure derived from an assumption that three transport managers might each save around 65 hours per week. Dayjob also projects an 11 percent annual revenue increase for users, though those numbers appear to be modeled estimates rather than aggregated customer outcomes.
At its core, the pitch is about managing variability—container types, shift patterns, local rules. "If you can solve scheduling here," the company's launch announcement declared, "you can solve it anywhere in industrial logistics." Bold words, perhaps. But then again, waste logistics does present a genuinely gnarly problem.
A crowded moment for logistics AI
Dayjob's debut lands in the middle of what's shaping up to be a crowded season for autonomous logistics software. In March, Shipsy announced AgentFleet, a multi-agent system spanning customer experience, operations, and finance. FarEye rolled out PILOT on April 23, touting 11 specialized agents for last-mile dispatcher workflows. Project44 unveiled Autopilot on May 11—an agentic operating system processing north of 700 million logistics events daily.
Even incumbents in the waste software space are leaning into autonomy. AMCS Group, a major player, added what it calls an "agentic AI framework" to its platform in an early April release, claiming it compresses route planning from hours to minutes. Competitors like Routeware and SkipRoute have begun marketing AI-enabled route optimization features as well, though the degree of true autonomy in those tools remains somewhat opaque.
The question, as always with new entrants, is whether Dayjob can carve out enough differentiation—and enough customer trust—to survive in a market where established vendors have deep relationships and long sales cycles.
Who's building it
Postlethwaite and Fooks came to waste logistics through an unconventional path. They previously built Gaea, an ERP system for e-waste operations, which gave them a front-row seat to the operational chaos that waste companies deal with daily. Postlethwaite, an early Deliveroo employee, went on to launch the company's UK grocery vertical before moving into sales at Otta, a recruiting platform. Fooks studied Engineering Science at Oxford and spent time in AI and data science roles at Deloitte and Capgemini.
The pair pivoted to Dayjob in January 2025. By August of that year, they'd started selling. By the time they went through Y Combinator, the company had reached $496,000 in annual recurring revenue—though conflicting figures elsewhere on the YC profile suggest the financials may still be in flux.
The team is small, around five people according to Y Combinator's Spring 2026 listing. Lead Engineer Joe Walton is featured on the product site. Headquarters are in London, with a Delaware address for US operations.
Funding-wise, Dayjob received Y Combinator's standard 2026 investment terms: $500,000 total, structured as $125,000 for 7 percent equity on a post-money SAFE, plus $375,000 on an uncapped most-favored-nation SAFE. No subsequent funding rounds have been disclosed.
What comes next
The real test will be whether Dayjob can translate early UK traction into sustained growth—especially in the fragmented US waste market, where regional operators dominate and buying decisions move slowly. The company's assertion that waste logistics is a wedge into broader industrial scheduling is intriguing, though it remains to be seen whether other verticals will prove as receptive.
For now, Dayjob is betting that an industry famous for early mornings and tight margins is ready to let an AI agent take the wheel—or at least, take over the route planning. Whether that bet pays off may depend less on the elegance of the algorithm and more on whether transport managers, after years of doing things a certain way, are willing to trust a machine to do it better.
